Exploring the effectiveness of methadone treatment from the perspective of drug users and their families: a qualitative study in Iran

ABSTRACT

The aim of this study was to explore the effectiveness of Methadone Maintenance Treatment (MMT) from the perspective of drug users and their families. For this qualitative content analysis study, 15 participants were selected via purposive sampling. Data collection was done using deep and semi-structured interviews, which were then analyzed. The results showed that MMT can bring favorable impacts into the patients’ lives and help them with the process of treatment and rehabilitation despite the medical side effects.     

The perceptions of female media professionals in Kuwait about their job: an empowerment perspective

This study explores the perceptions of women who work in the media in Kuwait—a conservative, male-dominated society. It examines how female media professionals are treated and explores the factors that either encourage or discourage the empowerment of Kuwaiti women working in this field. In-depth interviews were conducted with five female media professionals and academics in Kuwait in order to develop measures of perceptions towards their profession, media organizations, and the general outlook of Kuwait society. The perceptions of a sample of 237 female media professionals were measured using a fifty-one-item questionnaire. An exploratory factor analysis shows that the respondents’ perceptions are grouped into eight sets of variables. The results show that, while the respondents feel empowered by education, regulations, and the current lifestyle in Kuwait, their cultural upbringing, self-image, and societal outlook discourage their empowerment.     

On the computation of the noncentral <Emphasis Type="Italic">F</Emphasis> and noncentral beta distribution

Unfortunately many of the numerous algorithms for computing the comulative distribution function (cdf) and noncentrality parameter of the noncentral F and beta distributions can produce completely incorrect results as demonstrated in the paper by examples. Existing algorithms are scrutinized and those parts that involve numerical difficulties are identified. As a result, a pseudo code is presented in which all the known numerical problems are resolved. This pseudo code can be easily implemented in programming language C or FORTRAN without understanding the complicated mathematical background. Symbolic evaluation of a finite and closed formula is proposed to compute exact cdf values. This approach makes it possible to check quickly and reliably the values returned by professional statistical packages over an extraordinarily wide parameter range without any programming knowledge. This research was motivated by the fact that a very useful table for calculating the size of detectable effects for ANOVA tables contains suspect values in the region of large noncentrality parameter values compared to the values obtained by Patnaik’s 2-moment central-F approximation. The cause is identified and the corrected form of the table for ANOVA purposes is given. The accuracy of the approximations to the noncentral-F distribution is also discussed. The authors wish to thank Mr. Richárd Király for his preliminary work. The authors are grateful to the Editor and Associate Editor of STCO and the unknown reviewers for their helpful suggestions.     

Uniform in bandwidth consistency for various kernel estimators involving functional data

The paper investigates various nonparametric models including regression, conditional distribution, conditional density and conditional hazard function, when the covariates are infinite dimensional. The main contribution is to prove uniform in bandwidth asymptotic results for kernel estimators of these functional operators. Then, the application issues, involving data-driven bandwidth selection, are discussed.     

Salat-al-Juma: organizing the public in Tahrir Square

What were the sources of solidarity that bound anti-government protesters in Tahrir Square? This article complicates Judith Butler’s claim that this solidarity originated in shared vulnerability to police violence and the practices of mutual care that were necessary to sustain bodies in the square. I draw on existing scholarship that suggests that passive knowledge of this shared vulnerability was already present among Egyptians, especially those working in the informal economy and living more of their lives – eating, chatting, praying, selling, etc. – on the streets of Egypt’s cities and thereby drawn into increasing contact with state police forces. Given that aggressive policing and intimidation had generated a sense of passive solidarity among Egyptians, I ask how this solidarity was transformed into animated opposition to the regime. My answer is that the Islamic congregational prayers as well as the Sunday Masses held during the revolution were spectacles of interfaith cooperation that inspired courage and trust across sectarian and religious/secular communities. These prayers were rational rituals that generated trust among diverse Egyptians that Mubarak had sown suspicion among and played against one another to stay in power. These were embodied rituals that lent moral support to more the mundane aspects of occupying Tahrir Square, which was symbolically and strategically important in bringing down the regime.     

A new generalized two-sided class of distributions with an emphasis on two-sided generalized normal distribution

The ordinary-G class of distributions is defined to have the cumulative distribution function (cdf) as the value of the cdf of the ordinary distribution F whose range is the unit interval at G, that is, F(G), and it generalizes the ordinary distribution. In this work, we consider the standard two-sided power distribution to define other classes like the beta-G and the Kumaraswamy-G classes. We extend the idea of two-sidedness to other ordinary distributions like normal. After studying the basic properties of the new class in general setting, we consider the two-sided generalized normal distribution with maximum likelihood estimation procedure.     

The McDonald Gompertz distribution: Properties and applications

This article introduces a five-parameter lifetime model called the McDonald Gompertz (McG) distribution to extend the Gompertz, generalized Gompertz, generalized exponential, beta Gompertz, and Kumaraswamy Gompertz distributions among several other models. The hazard function of new distribution can be increasing, decreasing, upside-down bathtub, and bathtub shaped. We obtain several properties of the McG distribution including moments, entropies, quantile, and generating functions. We provide the density function of the order statistics and their moments. The parameter estimation is based on the usual maximum likelihood approach. We also provide the observed information matrix and discuss inferences issues. The flexibility and usefulness of the new distribution are illustrated by means of application to two real datasets.     

Evaluating modified generalized information criterion in presence of multicollinearity

When there are many explanatory variables in the regression model, there is a chance that some of these are intercorrelated. This is where the problem of multicollinearity creeps in due to which precision and accuracy of the coefficients is marred, and the quest to find the best model becomes tedious. To tackle such a situation, Model selection criteria are applied for selecting the best model that fits the data. Current study focuses on the evaluation of the four unmodified and four modified versions of generalized information criteria—Akaike Information Criterion, Schwarz's Bayes Information Criteria, Hannan-Quinn Information Criterion, and Akaike Information Criterion corrected for small samples. A simulation study using SAS software was carried out in order to compare the unmodified and modified versions of the generalized information criteria and to discover the best version amongst the four modified model selection criteria, for identifying the best model, when the collinearity assumption is violated. For the proposed simulation, two samples of size 50 and 100, for three explanatory variables X₁, X₂, and X₃, are drawn from Normal distribution. Two situations of collinearity violations between X₁ and X₂ are looked into, first when ρ = 0.6 and second when ρ = 0.8. The outcomes of the simulations are displayed in the tables along with visual representations. The results revealed that modified versions of the generalized information criteria are more sensitive in identifying models marred with high multicollinearity as compared to the unmodified generalized information criteria.